#!/usr/bin/env python

import sys
import torchaudio
from audiocraft.models import AudioGen
from audiocraft.data.audio import audio_write

model = AudioGen.get_pretrained('facebook/audiogen-medium')
model.set_generation_params(duration=5)  # generate 5 seconds.
descriptions = sys.argv[1:]
if not descriptions:
    print('At least one prompt should be provided')
    sys.exit(1)
wav = model.generate(descriptions)  # generates 3 samples.

for one_wav, description in zip(wav, descriptions):
    file_name = description.replace(' ', '_')
    # Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
    audio_write(file_name, one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)